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ENGLISH, A. C.

Publications and source records attributed to ENGLISH, A. C..

2 recordsLinked to original sources

K-mer analysis of long-read alignment pileups for structural variant genotyping

Accurately genotyping structural variant (SV) alleles is crucial to genomics research. We present a novel method (kanpig) for genotyping SVs that leverages variant graphs and k-mer vectors to rapidly generate accurate SV genotypes. We benchmark kanpig against the latest SV benchmarks and show single-sample genotyping concordance of 82.1%, which is higher than existing genotypers averaging 66.3%. We explore kanpigs applicability to multi-sample projects by benchmarking project-level VCFs containing 47 genetically diverse samples and find kanpig accurately genotypes complex loci (e.g. SVs neighboring other SVs), achieving much higher genotyping concordance than other tools. Kanpig requires only 43 seconds to process a single samples 20x long-reads and can be run on PacBio or ONT long-reads.

bioinformatics↗

Truvari: Refined Structural Variant Comparison Preserves Allelic Diversity

For multi-sample structural variant analyses like merging, benchmarking, and annotation, the fundamental operation is to identify when two SVs are the same. Commonly applied approaches for comparing SVs were developed alongside technologies which produce ill-defined boundaries. As SV detection becomes more exact, algorithms to preserve this refined signal are needed. Here we present Truvari - a SV comparison, annotation and analysis toolkit - and demonstrate the effect of SV comparison choices by building population-level VCFs from 36 haplotype-resolved long-read assemblies. We observe over-merging from other SV merging approaches which causes up to a 2.2x inflation of allele frequency relative to Truvari.

bioinformatics↗